Jack Nicholls

According to our database, Jack Nicholls authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Large Language Model XAI approach for illicit activity Investigation in Bitcoin.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

Neural Comput. Appl., October, 2025

2024

The next phase of identifying illicit activity in Bitcoin.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

Int. J. Netw. Manag., 2024

Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers.

Aditya Kuppa, Jack Nicholls, Nhien-An Le-Khac

Proceedings of the 21st International Conference on Security and Cryptography, 2024

JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions.

John William O'Meara, Mohit Taneja, Jack Nicholls, Nitish Kothale, Steve Flinter, Anca Delia Jurcut

Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

2023

Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

CoRR, 2023

SoK: The Next Phase of Identifying Illicit Activity in Bitcoin.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

Proceedings of the Annual Computer Security Applications Conference, 2023

2021

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

IEEE Access, 2021

2020

A Simplistic Machine Learning Approach to Contact Tracing.

Carlos Gómez, Niamh Belton, Boi M. Quach, Jack Nicholls, Devanshu Anand

CoRR, 2020